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Hydraulic parameters governing a flow in aquifers vary randomly in space and are often modeled as spatially correlated random continua. Recent works pointed out the advantages of methodologies of geostatistical inversion to define the spatial variability of hydraulic parameters. The material enclosed is used within the context of the class “Groundwater Hydraulics of the curricula in Civil Engineering and Environmental Engineering. It starts by summarizing some basic field evidences about spatial variability of hydraulic properties of aquifers. It then presents some key ideas about geostatistical approaches to model the observed spatial variability. Finally, the kriging equations are derived for a simple scenario.

Alberto Guadagnini & Monica Riva - dept. IIAR, Politecnico di Milano.
Alberto Guadagnini & Monica Riva - dept. IIAR, Politecnico di Milano.

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This web site was launched by Prof. Michele Mossa of the Polytechnic University of Bari (Italy) with the initial support of Fondazione Caripuglia, Bari, Italy for the Research Project LIC-MON of 2003 and of the Project IMCA (Integrated Monitoring of Coastal Areas) financed by MIUR PON D.M. 593/00. Later, the initiative was supported with other Prof. Michele Mossa’s funds, most recently provided by the RITMARE Project.

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